Akiba So
fc468464b2
Context: Build a spatial risk assessment system correlating air quality data with children's respiratory disease incidence across Wuhan. Approach: FastAPI backend serving PostGIS spatial queries, React frontend with Deck.gl maps, and a PyTorch SpatialTemporalGCN pipeline for multi-day (1d/3d/7d) risk prediction. Changes: - backend/ — FastAPI API with auth (JWT), alerts, risk analysis, geocoded case data, grid statistics, and report endpoints - frontend/ — React dashboard with interactive risk maps, alert monitoring, district comparison charts, and timeline player - models/ — SpatialTemporalGCN model with trained weights and ONNX export for inference - scripts/ — ETL pipeline for weather + medical data, grid generation, feature engineering, training, and daily inference - deploy/ — Docker Compose configs for backend, frontend, and MLflow - docs/ — API docs, deployment guide, user guide, and code review Impact: Enables spatial risk visualization, alert monitoring, and ML-driven health risk forecasting for environmental health teams.
34 lines
782 B
JSON
34 lines
782 B
JSON
{
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"name": "wuhan-child-risk-frontend",
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"private": true,
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"version": "1.0.0",
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"type": "module",
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"scripts": {
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"dev": "vite",
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"build": "tsc && vite build",
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"preview": "vite preview"
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},
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"dependencies": {
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"axios": "^1.6.7",
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"leaflet": "^1.9.4",
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"lucide-react": "^0.330.0",
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"react": "^18.2.0",
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"react-dom": "^18.2.0",
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"react-leaflet": "^4.2.1",
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"recharts": "^2.12.0",
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"zustand": "^4.5.0"
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},
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"devDependencies": {
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"@playwright/test": "^1.59.1",
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"@types/leaflet": "^1.9.8",
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"@types/react": "^18.2.55",
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"@types/react-dom": "^18.2.19",
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"@vitejs/plugin-react": "^4.2.1",
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"autoprefixer": "^10.4.17",
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"postcss": "^8.4.35",
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"tailwindcss": "^3.4.1",
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"typescript": "^5.3.3",
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"vite": "^5.1.0"
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}
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}
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